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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_variability.wasp
Title produced by softwareVariability
Date of computationSun, 08 Dec 2013 13:35:31 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Dec/08/t1386527791i2rdrbelaltd526.htm/, Retrieved Fri, 29 Mar 2024 15:00:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=231493, Retrieved Fri, 29 Mar 2024 15:00:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact78
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Variability] [] [2013-12-08 18:35:31] [a0fdb281759790a4896cd836cbe89967] [Current]
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Dataseries X:
0,69
0,69
0,68
0,66
0,65
0,65
0,65
0,65
0,65
0,66
0,68
0,72
0,73
0,75
0,69
0,65
0,64
0,64
0,64
0,64
0,65
0,65
0,67
0,7
0,69
0,7
0,71
0,69
0,69
0,69
0,69
0,69
0,7
0,7
0,7
0,74
0,72
0,74
0,69
0,66
0,66
0,66
0,66
0,66
0,66
0,67
0,7
0,72
0,71
0,7
0,71
0,67
0,7
0,69
0,69
0,69
0,69
0,69
0,71
0,75
0,74
0,75
0,72
0,64
0,65
0,64
0,64
0,64
0,64
0,65
0,66
0,7
0,68
0,69
0,68
0,67
0,68
0,68
0,68
0,68
0,68
0,7
0,69
0,75




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231493&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231493&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231493&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Variability - Ungrouped Data
Absolute range0.11
Relative range (unbiased)3.65770070163421
Relative range (biased)3.67966907153637
Variance (unbiased)0.00090441767068273
Variance (biased)0.000893650793650793
Standard Deviation (unbiased)0.0300735377147872
Standard Deviation (biased)0.0298939926013705
Coefficient of Variation (unbiased)0.0440100551923716
Coefficient of Variation (biased)0.043747306245908
Mean Squared Error (MSE versus 0)0.467838095238095
Mean Squared Error (MSE versus Mean)0.000893650793650793
Mean Absolute Deviation from Mean (MAD Mean)0.0242063492063492
Mean Absolute Deviation from Median (MAD Median)0.024047619047619
Median Absolute Deviation from Mean0.0233333333333333
Median Absolute Deviation from Median0.02
Mean Squared Deviation from Mean0.000893650793650793
Mean Squared Deviation from Median0.000938095238095236
Interquartile Difference (Weighted Average at Xnp)0.0399999999999999
Interquartile Difference (Weighted Average at X(n+1)p)0.0399999999999999
Interquartile Difference (Empirical Distribution Function)0.0399999999999999
Interquartile Difference (Empirical Distribution Function - Averaging)0.0399999999999999
Interquartile Difference (Empirical Distribution Function - Interpolation)0.0399999999999999
Interquartile Difference (Closest Observation)0.0399999999999999
Interquartile Difference (True Basic - Statistics Graphics Toolkit)0.0399999999999999
Interquartile Difference (MS Excel (old versions))0.0399999999999999
Semi Interquartile Difference (Weighted Average at Xnp)0.02
Semi Interquartile Difference (Weighted Average at X(n+1)p)0.02
Semi Interquartile Difference (Empirical Distribution Function)0.02
Semi Interquartile Difference (Empirical Distribution Function - Averaging)0.02
Semi Interquartile Difference (Empirical Distribution Function - Interpolation)0.02
Semi Interquartile Difference (Closest Observation)0.02
Semi Interquartile Difference (True Basic - Statistics Graphics Toolkit)0.02
Semi Interquartile Difference (MS Excel (old versions))0.02
Coefficient of Quartile Variation (Weighted Average at Xnp)0.0294117647058823
Coefficient of Quartile Variation (Weighted Average at X(n+1)p)0.0294117647058823
Coefficient of Quartile Variation (Empirical Distribution Function)0.0294117647058823
Coefficient of Quartile Variation (Empirical Distribution Function - Averaging)0.0294117647058823
Coefficient of Quartile Variation (Empirical Distribution Function - Interpolation)0.0294117647058823
Coefficient of Quartile Variation (Closest Observation)0.0294117647058823
Coefficient of Quartile Variation (True Basic - Statistics Graphics Toolkit)0.0294117647058823
Coefficient of Quartile Variation (MS Excel (old versions))0.0294117647058823
Number of all Pairs of Observations3486
Squared Differences between all Pairs of Observations0.00180883534136543
Mean Absolute Differences between all Pairs of Observations0.0339414802065408
Gini Mean Difference0.033941480206541
Leik Measure of Dispersion0.503757189034885
Index of Diversity0.988072454442812
Index of Qualitative Variation0.999976941845738
Coefficient of Dispersion0.0350816655164481
Observations84

\begin{tabular}{lllllllll}
\hline
Variability - Ungrouped Data \tabularnewline
Absolute range & 0.11 \tabularnewline
Relative range (unbiased) & 3.65770070163421 \tabularnewline
Relative range (biased) & 3.67966907153637 \tabularnewline
Variance (unbiased) & 0.00090441767068273 \tabularnewline
Variance (biased) & 0.000893650793650793 \tabularnewline
Standard Deviation (unbiased) & 0.0300735377147872 \tabularnewline
Standard Deviation (biased) & 0.0298939926013705 \tabularnewline
Coefficient of Variation (unbiased) & 0.0440100551923716 \tabularnewline
Coefficient of Variation (biased) & 0.043747306245908 \tabularnewline
Mean Squared Error (MSE versus 0) & 0.467838095238095 \tabularnewline
Mean Squared Error (MSE versus Mean) & 0.000893650793650793 \tabularnewline
Mean Absolute Deviation from Mean (MAD Mean) & 0.0242063492063492 \tabularnewline
Mean Absolute Deviation from Median (MAD Median) & 0.024047619047619 \tabularnewline
Median Absolute Deviation from Mean & 0.0233333333333333 \tabularnewline
Median Absolute Deviation from Median & 0.02 \tabularnewline
Mean Squared Deviation from Mean & 0.000893650793650793 \tabularnewline
Mean Squared Deviation from Median & 0.000938095238095236 \tabularnewline
Interquartile Difference (Weighted Average at Xnp) & 0.0399999999999999 \tabularnewline
Interquartile Difference (Weighted Average at X(n+1)p) & 0.0399999999999999 \tabularnewline
Interquartile Difference (Empirical Distribution Function) & 0.0399999999999999 \tabularnewline
Interquartile Difference (Empirical Distribution Function - Averaging) & 0.0399999999999999 \tabularnewline
Interquartile Difference (Empirical Distribution Function - Interpolation) & 0.0399999999999999 \tabularnewline
Interquartile Difference (Closest Observation) & 0.0399999999999999 \tabularnewline
Interquartile Difference (True Basic - Statistics Graphics Toolkit) & 0.0399999999999999 \tabularnewline
Interquartile Difference (MS Excel (old versions)) & 0.0399999999999999 \tabularnewline
Semi Interquartile Difference (Weighted Average at Xnp) & 0.02 \tabularnewline
Semi Interquartile Difference (Weighted Average at X(n+1)p) & 0.02 \tabularnewline
Semi Interquartile Difference (Empirical Distribution Function) & 0.02 \tabularnewline
Semi Interquartile Difference (Empirical Distribution Function - Averaging) & 0.02 \tabularnewline
Semi Interquartile Difference (Empirical Distribution Function - Interpolation) & 0.02 \tabularnewline
Semi Interquartile Difference (Closest Observation) & 0.02 \tabularnewline
Semi Interquartile Difference (True Basic - Statistics Graphics Toolkit) & 0.02 \tabularnewline
Semi Interquartile Difference (MS Excel (old versions)) & 0.02 \tabularnewline
Coefficient of Quartile Variation (Weighted Average at Xnp) & 0.0294117647058823 \tabularnewline
Coefficient of Quartile Variation (Weighted Average at X(n+1)p) & 0.0294117647058823 \tabularnewline
Coefficient of Quartile Variation (Empirical Distribution Function) & 0.0294117647058823 \tabularnewline
Coefficient of Quartile Variation (Empirical Distribution Function - Averaging) & 0.0294117647058823 \tabularnewline
Coefficient of Quartile Variation (Empirical Distribution Function - Interpolation) & 0.0294117647058823 \tabularnewline
Coefficient of Quartile Variation (Closest Observation) & 0.0294117647058823 \tabularnewline
Coefficient of Quartile Variation (True Basic - Statistics Graphics Toolkit) & 0.0294117647058823 \tabularnewline
Coefficient of Quartile Variation (MS Excel (old versions)) & 0.0294117647058823 \tabularnewline
Number of all Pairs of Observations & 3486 \tabularnewline
Squared Differences between all Pairs of Observations & 0.00180883534136543 \tabularnewline
Mean Absolute Differences between all Pairs of Observations & 0.0339414802065408 \tabularnewline
Gini Mean Difference & 0.033941480206541 \tabularnewline
Leik Measure of Dispersion & 0.503757189034885 \tabularnewline
Index of Diversity & 0.988072454442812 \tabularnewline
Index of Qualitative Variation & 0.999976941845738 \tabularnewline
Coefficient of Dispersion & 0.0350816655164481 \tabularnewline
Observations & 84 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231493&T=1

[TABLE]
[ROW][C]Variability - Ungrouped Data[/C][/ROW]
[ROW][C]Absolute range[/C][C]0.11[/C][/ROW]
[ROW][C]Relative range (unbiased)[/C][C]3.65770070163421[/C][/ROW]
[ROW][C]Relative range (biased)[/C][C]3.67966907153637[/C][/ROW]
[ROW][C]Variance (unbiased)[/C][C]0.00090441767068273[/C][/ROW]
[ROW][C]Variance (biased)[/C][C]0.000893650793650793[/C][/ROW]
[ROW][C]Standard Deviation (unbiased)[/C][C]0.0300735377147872[/C][/ROW]
[ROW][C]Standard Deviation (biased)[/C][C]0.0298939926013705[/C][/ROW]
[ROW][C]Coefficient of Variation (unbiased)[/C][C]0.0440100551923716[/C][/ROW]
[ROW][C]Coefficient of Variation (biased)[/C][C]0.043747306245908[/C][/ROW]
[ROW][C]Mean Squared Error (MSE versus 0)[/C][C]0.467838095238095[/C][/ROW]
[ROW][C]Mean Squared Error (MSE versus Mean)[/C][C]0.000893650793650793[/C][/ROW]
[ROW][C]Mean Absolute Deviation from Mean (MAD Mean)[/C][C]0.0242063492063492[/C][/ROW]
[ROW][C]Mean Absolute Deviation from Median (MAD Median)[/C][C]0.024047619047619[/C][/ROW]
[ROW][C]Median Absolute Deviation from Mean[/C][C]0.0233333333333333[/C][/ROW]
[ROW][C]Median Absolute Deviation from Median[/C][C]0.02[/C][/ROW]
[ROW][C]Mean Squared Deviation from Mean[/C][C]0.000893650793650793[/C][/ROW]
[ROW][C]Mean Squared Deviation from Median[/C][C]0.000938095238095236[/C][/ROW]
[ROW][C]Interquartile Difference (Weighted Average at Xnp)[/C][C]0.0399999999999999[/C][/ROW]
[ROW][C]Interquartile Difference (Weighted Average at X(n+1)p)[/C][C]0.0399999999999999[/C][/ROW]
[ROW][C]Interquartile Difference (Empirical Distribution Function)[/C][C]0.0399999999999999[/C][/ROW]
[ROW][C]Interquartile Difference (Empirical Distribution Function - Averaging)[/C][C]0.0399999999999999[/C][/ROW]
[ROW][C]Interquartile Difference (Empirical Distribution Function - Interpolation)[/C][C]0.0399999999999999[/C][/ROW]
[ROW][C]Interquartile Difference (Closest Observation)[/C][C]0.0399999999999999[/C][/ROW]
[ROW][C]Interquartile Difference (True Basic - Statistics Graphics Toolkit)[/C][C]0.0399999999999999[/C][/ROW]
[ROW][C]Interquartile Difference (MS Excel (old versions))[/C][C]0.0399999999999999[/C][/ROW]
[ROW][C]Semi Interquartile Difference (Weighted Average at Xnp)[/C][C]0.02[/C][/ROW]
[ROW][C]Semi Interquartile Difference (Weighted Average at X(n+1)p)[/C][C]0.02[/C][/ROW]
[ROW][C]Semi Interquartile Difference (Empirical Distribution Function)[/C][C]0.02[/C][/ROW]
[ROW][C]Semi Interquartile Difference (Empirical Distribution Function - Averaging)[/C][C]0.02[/C][/ROW]
[ROW][C]Semi Interquartile Difference (Empirical Distribution Function - Interpolation)[/C][C]0.02[/C][/ROW]
[ROW][C]Semi Interquartile Difference (Closest Observation)[/C][C]0.02[/C][/ROW]
[ROW][C]Semi Interquartile Difference (True Basic - Statistics Graphics Toolkit)[/C][C]0.02[/C][/ROW]
[ROW][C]Semi Interquartile Difference (MS Excel (old versions))[/C][C]0.02[/C][/ROW]
[ROW][C]Coefficient of Quartile Variation (Weighted Average at Xnp)[/C][C]0.0294117647058823[/C][/ROW]
[ROW][C]Coefficient of Quartile Variation (Weighted Average at X(n+1)p)[/C][C]0.0294117647058823[/C][/ROW]
[ROW][C]Coefficient of Quartile Variation (Empirical Distribution Function)[/C][C]0.0294117647058823[/C][/ROW]
[ROW][C]Coefficient of Quartile Variation (Empirical Distribution Function - Averaging)[/C][C]0.0294117647058823[/C][/ROW]
[ROW][C]Coefficient of Quartile Variation (Empirical Distribution Function - Interpolation)[/C][C]0.0294117647058823[/C][/ROW]
[ROW][C]Coefficient of Quartile Variation (Closest Observation)[/C][C]0.0294117647058823[/C][/ROW]
[ROW][C]Coefficient of Quartile Variation (True Basic - Statistics Graphics Toolkit)[/C][C]0.0294117647058823[/C][/ROW]
[ROW][C]Coefficient of Quartile Variation (MS Excel (old versions))[/C][C]0.0294117647058823[/C][/ROW]
[ROW][C]Number of all Pairs of Observations[/C][C]3486[/C][/ROW]
[ROW][C]Squared Differences between all Pairs of Observations[/C][C]0.00180883534136543[/C][/ROW]
[ROW][C]Mean Absolute Differences between all Pairs of Observations[/C][C]0.0339414802065408[/C][/ROW]
[ROW][C]Gini Mean Difference[/C][C]0.033941480206541[/C][/ROW]
[ROW][C]Leik Measure of Dispersion[/C][C]0.503757189034885[/C][/ROW]
[ROW][C]Index of Diversity[/C][C]0.988072454442812[/C][/ROW]
[ROW][C]Index of Qualitative Variation[/C][C]0.999976941845738[/C][/ROW]
[ROW][C]Coefficient of Dispersion[/C][C]0.0350816655164481[/C][/ROW]
[ROW][C]Observations[/C][C]84[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231493&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231493&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Variability - Ungrouped Data
Absolute range0.11
Relative range (unbiased)3.65770070163421
Relative range (biased)3.67966907153637
Variance (unbiased)0.00090441767068273
Variance (biased)0.000893650793650793
Standard Deviation (unbiased)0.0300735377147872
Standard Deviation (biased)0.0298939926013705
Coefficient of Variation (unbiased)0.0440100551923716
Coefficient of Variation (biased)0.043747306245908
Mean Squared Error (MSE versus 0)0.467838095238095
Mean Squared Error (MSE versus Mean)0.000893650793650793
Mean Absolute Deviation from Mean (MAD Mean)0.0242063492063492
Mean Absolute Deviation from Median (MAD Median)0.024047619047619
Median Absolute Deviation from Mean0.0233333333333333
Median Absolute Deviation from Median0.02
Mean Squared Deviation from Mean0.000893650793650793
Mean Squared Deviation from Median0.000938095238095236
Interquartile Difference (Weighted Average at Xnp)0.0399999999999999
Interquartile Difference (Weighted Average at X(n+1)p)0.0399999999999999
Interquartile Difference (Empirical Distribution Function)0.0399999999999999
Interquartile Difference (Empirical Distribution Function - Averaging)0.0399999999999999
Interquartile Difference (Empirical Distribution Function - Interpolation)0.0399999999999999
Interquartile Difference (Closest Observation)0.0399999999999999
Interquartile Difference (True Basic - Statistics Graphics Toolkit)0.0399999999999999
Interquartile Difference (MS Excel (old versions))0.0399999999999999
Semi Interquartile Difference (Weighted Average at Xnp)0.02
Semi Interquartile Difference (Weighted Average at X(n+1)p)0.02
Semi Interquartile Difference (Empirical Distribution Function)0.02
Semi Interquartile Difference (Empirical Distribution Function - Averaging)0.02
Semi Interquartile Difference (Empirical Distribution Function - Interpolation)0.02
Semi Interquartile Difference (Closest Observation)0.02
Semi Interquartile Difference (True Basic - Statistics Graphics Toolkit)0.02
Semi Interquartile Difference (MS Excel (old versions))0.02
Coefficient of Quartile Variation (Weighted Average at Xnp)0.0294117647058823
Coefficient of Quartile Variation (Weighted Average at X(n+1)p)0.0294117647058823
Coefficient of Quartile Variation (Empirical Distribution Function)0.0294117647058823
Coefficient of Quartile Variation (Empirical Distribution Function - Averaging)0.0294117647058823
Coefficient of Quartile Variation (Empirical Distribution Function - Interpolation)0.0294117647058823
Coefficient of Quartile Variation (Closest Observation)0.0294117647058823
Coefficient of Quartile Variation (True Basic - Statistics Graphics Toolkit)0.0294117647058823
Coefficient of Quartile Variation (MS Excel (old versions))0.0294117647058823
Number of all Pairs of Observations3486
Squared Differences between all Pairs of Observations0.00180883534136543
Mean Absolute Differences between all Pairs of Observations0.0339414802065408
Gini Mean Difference0.033941480206541
Leik Measure of Dispersion0.503757189034885
Index of Diversity0.988072454442812
Index of Qualitative Variation0.999976941845738
Coefficient of Dispersion0.0350816655164481
Observations84



Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):
num <- 50
res <- array(NA,dim=c(num,3))
q1 <- function(data,n,p,i,f) {
np <- n*p;
i <<- floor(np)
f <<- np - i
qvalue <- (1-f)*data[i] + f*data[i+1]
}
q2 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
qvalue <- (1-f)*data[i] + f*data[i+1]
}
q3 <- function(data,n,p,i,f) {
np <- n*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
qvalue <- data[i+1]
}
}
q4 <- function(data,n,p,i,f) {
np <- n*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- (data[i]+data[i+1])/2
} else {
qvalue <- data[i+1]
}
}
q5 <- function(data,n,p,i,f) {
np <- (n-1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i+1]
} else {
qvalue <- data[i+1] + f*(data[i+2]-data[i+1])
}
}
q6 <- function(data,n,p,i,f) {
np <- n*p+0.5
i <<- floor(np)
f <<- np - i
qvalue <- data[i]
}
q7 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
qvalue <- f*data[i] + (1-f)*data[i+1]
}
}
q8 <- function(data,n,p,i,f) {
np <- (n+1)*p
i <<- floor(np)
f <<- np - i
if (f==0) {
qvalue <- data[i]
} else {
if (f == 0.5) {
qvalue <- (data[i]+data[i+1])/2
} else {
if (f < 0.5) {
qvalue <- data[i]
} else {
qvalue <- data[i+1]
}
}
}
}
iqd <- function(x,def) {
x <-sort(x[!is.na(x)])
n<-length(x)
if (def==1) {
qvalue1 <- q1(x,n,0.25,i,f)
qvalue3 <- q1(x,n,0.75,i,f)
}
if (def==2) {
qvalue1 <- q2(x,n,0.25,i,f)
qvalue3 <- q2(x,n,0.75,i,f)
}
if (def==3) {
qvalue1 <- q3(x,n,0.25,i,f)
qvalue3 <- q3(x,n,0.75,i,f)
}
if (def==4) {
qvalue1 <- q4(x,n,0.25,i,f)
qvalue3 <- q4(x,n,0.75,i,f)
}
if (def==5) {
qvalue1 <- q5(x,n,0.25,i,f)
qvalue3 <- q5(x,n,0.75,i,f)
}
if (def==6) {
qvalue1 <- q6(x,n,0.25,i,f)
qvalue3 <- q6(x,n,0.75,i,f)
}
if (def==7) {
qvalue1 <- q7(x,n,0.25,i,f)
qvalue3 <- q7(x,n,0.75,i,f)
}
if (def==8) {
qvalue1 <- q8(x,n,0.25,i,f)
qvalue3 <- q8(x,n,0.75,i,f)
}
iqdiff <- qvalue3 - qvalue1
return(c(iqdiff,iqdiff/2,iqdiff/(qvalue3 + qvalue1)))
}
range <- max(x) - min(x)
lx <- length(x)
biasf <- (lx-1)/lx
varx <- var(x)
bvarx <- varx*biasf
sdx <- sqrt(varx)
mx <- mean(x)
bsdx <- sqrt(bvarx)
x2 <- x*x
mse0 <- sum(x2)/lx
xmm <- x-mx
xmm2 <- xmm*xmm
msem <- sum(xmm2)/lx
axmm <- abs(x - mx)
medx <- median(x)
axmmed <- abs(x - medx)
xmmed <- x - medx
xmmed2 <- xmmed*xmmed
msemed <- sum(xmmed2)/lx
qarr <- array(NA,dim=c(8,3))
for (j in 1:8) {
qarr[j,] <- iqd(x,j)
}
sdpo <- 0
adpo <- 0
for (i in 1:(lx-1)) {
for (j in (i+1):lx) {
ldi <- x[i]-x[j]
aldi <- abs(ldi)
sdpo = sdpo + ldi * ldi
adpo = adpo + aldi
}
}
denom <- (lx*(lx-1)/2)
sdpo = sdpo / denom
adpo = adpo / denom
gmd <- 0
for (i in 1:lx) {
for (j in 1:lx) {
ldi <- abs(x[i]-x[j])
gmd = gmd + ldi
}
}
gmd <- gmd / (lx*(lx-1))
sumx <- sum(x)
pk <- x / sumx
ck <- cumsum(pk)
dk <- array(NA,dim=lx)
for (i in 1:lx) {
if (ck[i] <= 0.5) dk[i] <- ck[i] else dk[i] <- 1 - ck[i]
}
bigd <- sum(dk) * 2 / (lx-1)
iod <- 1 - sum(pk*pk)
res[1,] <- c('Absolute range','absolute.htm', range)
res[2,] <- c('Relative range (unbiased)','relative.htm', range/sd(x))
res[3,] <- c('Relative range (biased)','relative.htm', range/sqrt(varx*biasf))
res[4,] <- c('Variance (unbiased)','unbiased.htm', varx)
res[5,] <- c('Variance (biased)','biased.htm', bvarx)
res[6,] <- c('Standard Deviation (unbiased)','unbiased1.htm', sdx)
res[7,] <- c('Standard Deviation (biased)','biased1.htm', bsdx)
res[8,] <- c('Coefficient of Variation (unbiased)','variation.htm', sdx/mx)
res[9,] <- c('Coefficient of Variation (biased)','variation.htm', bsdx/mx)
res[10,] <- c('Mean Squared Error (MSE versus 0)','mse.htm', mse0)
res[11,] <- c('Mean Squared Error (MSE versus Mean)','mse.htm', msem)
res[12,] <- c('Mean Absolute Deviation from Mean (MAD Mean)', 'mean2.htm', sum(axmm)/lx)
res[13,] <- c('Mean Absolute Deviation from Median (MAD Median)', 'median1.htm', sum(axmmed)/lx)
res[14,] <- c('Median Absolute Deviation from Mean', 'mean3.htm', median(axmm))
res[15,] <- c('Median Absolute Deviation from Median', 'median2.htm', median(axmmed))
res[16,] <- c('Mean Squared Deviation from Mean', 'mean1.htm', msem)
res[17,] <- c('Mean Squared Deviation from Median', 'median.htm', msemed)
load(file='createtable')
mylink1 <- hyperlink('difference.htm','Interquartile Difference','')
mylink2 <- paste(mylink1,hyperlink('method_1.htm','(Weighted Average at Xnp)',''),sep=' ')
res[18,] <- c('', mylink2, qarr[1,1])
mylink2 <- paste(mylink1,hyperlink('method_2.htm','(Weighted Average at X(n+1)p)',''),sep=' ')
res[19,] <- c('', mylink2, qarr[2,1])
mylink2 <- paste(mylink1,hyperlink('method_3.htm','(Empirical Distribution Function)',''),sep=' ')
res[20,] <- c('', mylink2, qarr[3,1])
mylink2 <- paste(mylink1,hyperlink('method_4.htm','(Empirical Distribution Function - Averaging)',''),sep=' ')
res[21,] <- c('', mylink2, qarr[4,1])
mylink2 <- paste(mylink1,hyperlink('method_5.htm','(Empirical Distribution Function - Interpolation)',''),sep=' ')
res[22,] <- c('', mylink2, qarr[5,1])
mylink2 <- paste(mylink1,hyperlink('method_6.htm','(Closest Observation)',''),sep=' ')
res[23,] <- c('', mylink2, qarr[6,1])
mylink2 <- paste(mylink1,hyperlink('method_7.htm','(True Basic - Statistics Graphics Toolkit)',''),sep=' ')
res[24,] <- c('', mylink2, qarr[7,1])
mylink2 <- paste(mylink1,hyperlink('method_8.htm','(MS Excel (old versions))',''),sep=' ')
res[25,] <- c('', mylink2, qarr[8,1])
mylink1 <- hyperlink('deviation.htm','Semi Interquartile Difference','')
mylink2 <- paste(mylink1,hyperlink('method_1.htm','(Weighted Average at Xnp)',''),sep=' ')
res[26,] <- c('', mylink2, qarr[1,2])
mylink2 <- paste(mylink1,hyperlink('method_2.htm','(Weighted Average at X(n+1)p)',''),sep=' ')
res[27,] <- c('', mylink2, qarr[2,2])
mylink2 <- paste(mylink1,hyperlink('method_3.htm','(Empirical Distribution Function)',''),sep=' ')
res[28,] <- c('', mylink2, qarr[3,2])
mylink2 <- paste(mylink1,hyperlink('method_4.htm','(Empirical Distribution Function - Averaging)',''),sep=' ')
res[29,] <- c('', mylink2, qarr[4,2])
mylink2 <- paste(mylink1,hyperlink('method_5.htm','(Empirical Distribution Function - Interpolation)',''),sep=' ')
res[30,] <- c('', mylink2, qarr[5,2])
mylink2 <- paste(mylink1,hyperlink('method_6.htm','(Closest Observation)',''),sep=' ')
res[31,] <- c('', mylink2, qarr[6,2])
mylink2 <- paste(mylink1,hyperlink('method_7.htm','(True Basic - Statistics Graphics Toolkit)',''),sep=' ')
res[32,] <- c('', mylink2, qarr[7,2])
mylink2 <- paste(mylink1,hyperlink('method_8.htm','(MS Excel (old versions))',''),sep=' ')
res[33,] <- c('', mylink2, qarr[8,2])
mylink1 <- hyperlink('variation1.htm','Coefficient of Quartile Variation','')
mylink2 <- paste(mylink1,hyperlink('method_1.htm','(Weighted Average at Xnp)',''),sep=' ')
res[34,] <- c('', mylink2, qarr[1,3])
mylink2 <- paste(mylink1,hyperlink('method_2.htm','(Weighted Average at X(n+1)p)',''),sep=' ')
res[35,] <- c('', mylink2, qarr[2,3])
mylink2 <- paste(mylink1,hyperlink('method_3.htm','(Empirical Distribution Function)',''),sep=' ')
res[36,] <- c('', mylink2, qarr[3,3])
mylink2 <- paste(mylink1,hyperlink('method_4.htm','(Empirical Distribution Function - Averaging)',''),sep=' ')
res[37,] <- c('', mylink2, qarr[4,3])
mylink2 <- paste(mylink1,hyperlink('method_5.htm','(Empirical Distribution Function - Interpolation)',''),sep=' ')
res[38,] <- c('', mylink2, qarr[5,3])
mylink2 <- paste(mylink1,hyperlink('method_6.htm','(Closest Observation)',''),sep=' ')
res[39,] <- c('', mylink2, qarr[6,3])
mylink2 <- paste(mylink1,hyperlink('method_7.htm','(True Basic - Statistics Graphics Toolkit)',''),sep=' ')
res[40,] <- c('', mylink2, qarr[7,3])
mylink2 <- paste(mylink1,hyperlink('method_8.htm','(MS Excel (old versions))',''),sep=' ')
res[41,] <- c('', mylink2, qarr[8,3])
res[42,] <- c('Number of all Pairs of Observations', 'pair_numbers.htm', lx*(lx-1)/2)
res[43,] <- c('Squared Differences between all Pairs of Observations', 'squared_differences.htm', sdpo)
res[44,] <- c('Mean Absolute Differences between all Pairs of Observations', 'mean_abs_differences.htm', adpo)
res[45,] <- c('Gini Mean Difference', 'gini_mean_difference.htm', gmd)
res[46,] <- c('Leik Measure of Dispersion', 'leiks_d.htm', bigd)
res[47,] <- c('Index of Diversity', 'diversity.htm', iod)
res[48,] <- c('Index of Qualitative Variation', 'qualitative_variation.htm', iod*lx/(lx-1))
res[49,] <- c('Coefficient of Dispersion', 'dispersion.htm', sum(axmm)/lx/medx)
res[50,] <- c('Observations', '', lx)
res
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Variability - Ungrouped Data',2,TRUE)
a<-table.row.end(a)
for (i in 1:num) {
a<-table.row.start(a)
if (res[i,1] != '') {
a<-table.element(a,hyperlink(res[i,2],res[i,1],''),header=TRUE)
} else {
a<-table.element(a,res[i,2],header=TRUE)
}
a<-table.element(a,res[i,3])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')